ABOUT iAIM2023
The Lee Kong Chian School of Medicine, together with Nanyang Technological University Singapore's College of Engineering and the National Healthcare Group, welcomes you to the inaugural International Conference on AI in Medicine. The three-day onsite event brings together top researchers and academics from diverse disciplines such as medicine, engineering, and social sciences, as well as industry partners from all over the world to share the latest developments and research on AI in Medicine.

FEATURING
-Artificial Intelligence in Medicine and Health
-Technology in Artificial Intelligence
-Ethics and Social Sciences

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CALL FOR ABSTRACTS
We invite submissions in Artificial Intelligence (AI) for medicine to iAIM 2023, the First International AI in Medicine (iAIM) conference, to be held in Singapore from 5 August to 7 August 2023.

The submission can be a summary of your recent publications related to AI in medicine or novel work reporting significant results on all aspects of AI in medicine. All submissions will be evaluated by the Scientific Committee based on criteria such as originality, significance, soundness, reproducibility, clarity, relevance (to the conference) and quality of presentation. Novel work can be subsequently submitted to any journal for formal publication.

Important Dates
Paper submission: 1 May 2023
Author notification: 1 June 2023
Conference: 5 August - 7 August 2023
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

Submission Requirements
Abstracts submitted to iAIM 2023 should be written in English and submitted as a PDF document. Abstracts must be no longer than 2 pages in total, excluding references. Up to 2 accompanying Figures and/or Tables are allowed. Overlength papers will be desk rejected.

Submission URL: Please register and submit your paper at the following link:
https://easychair.org/conferences/?conf=iaim2023

Tracks
iAIM 2023 will feature the following three tracks.

1) Artificial Intelligence in Medicine and Health
The AI in Medicine & Health track focuses on theory and practice. There have been recent successes in applying AI in medicine and health, and the landscape of medical AI has matured considerably. Although the widespread use of AI in medicine today is growing, the medical AI community is facing complex and continually evolving ethical, technical, and human-centered challenges.

To promote research in AI in medicine and health, and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of the medical AI community, this track will focus on cutting-edge research that develops novel AI techniques that are poised to broadly reshape today’s medicine. The topics covered by this track include but are not limited to:
-Machine and deep learning approaches for medicine and health
-Human-AI collaboration in medicine and health
-AI-powered applications and systems for medicine and health
-Multimodal medical data processing and mining
-New datasets and benchmarks for medicine and health
-Large (pre-trained) models for medicine and health
-Trustworthiness, explainability, and reliability of AI systems in medicine and health

2) Technology in Artificial Intelligence
The Technology in AI track focuses on general AI techniques, including but not limited to AI techniques for medicine and health. Submissions reporting research that advances artificial intelligence are welcomed. The scope includes most areas of AI such as machine learning, computer vision, natural language processing, data mining, planning, and multiagent learning and systems. Works that explore the possibility of applying novel AI algorithms, methods, and ideas to medicine and health are particularly encouraged.

3) Ethics and Social Sciences
Recent developments in the field of AI applied to medicine and health has demonstrated the promise of solving many of the existing global issues in advancing human health and managing global health challenges. However, the underlying ethical, legal, and social implications are deserved equal attention in the development and implementation of AI-powered applications and systems for medicine and health.

The Ethics & Social Sciences track focuses on the exploration of the ethical, legal, and social impacts of AI applied to medicine and health, and solutions that address related challenges faced by the medical AI community, such as the regulatory issues regarding the deployment of AI models for healthcare, shifts in responsibility between human and AI systems, ethical data collection and use, and risk of prejudice regarding racial categories.

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CALL FOR DEMOS
The iAIM 2023 Demo track provides opportunities for participants from academia and industry to present their latest developments in AI platforms and systems for medicine and health. Novel applications and interactive systems/platforms are particularly welcome. Student researchers are encouraged to submit. A “Best Demo” will be selected and awarded by the Demo Program Committee.

Demonstrations of interest include but are not limited to:
-AI-powered healthcare systems/platforms
-AI-powered recommending and decision-making systems for medicine and health

For all accepted demo papers, the videos will be played during breaks and the demo sessions to provide maximum visibility to the systems. In addition, at least one author of each accepted demo is required to register and attend the conference to give a live demo.

Important Dates
Demo submission: 1 May 2023
Acceptance notification: 1 June 2023
iAIM 2023 Demo Presentations: 7 August 2023
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

Submission Requirements
The Demo submission must consist of a short paper, a video, and, for student projects, a supervisor endorsement.

1) Paper. The paper should be written in English, be submitted as a PDF document, and be no longer than 4 pages in total. The paper should consist of the following materials:
-The description of the system. More precisely, the authors are encouraged to discuss the application domain, the problem scenario, the technology used, the system's innovations, the system’s live and interactive aspects, etc.
-Bibliographic references.
-A list of requirements for the demo setting at the conference.

2) Video. The paper should provide a URL link to a demonstration video of no more than 5 minutes in duration. The video should consist of the following elements:
-Introduction: Introduce the related concepts.
-Aim: What is the target group for the system?
-Main features: Present the system’s main features and discuss the benefits as well as innovations.
-Development: Architecture overview and techniques used for development.
-Demo: Execution of the system that highlights its features and benefits.

3) Supervisor Endorsement (for student projects only). A brief note from the student’s supervisor describing the student’s contribution to the project.

Submission URL: Please register and submit your demo at the following link:
https://easychair.org/conferences/?conf=iaim2023

Selection Process
Each submission will be assessed by the Demo Program Committee based on the following criteria:
-Relevance to the iAIM conference
-Significance and originality
-Technical quality
-Live demo presentation
-Video presentation
-Readiness for demonstration
-Potential for public interaction
-Potential impact in the intended application domain

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CALL FOR TUTORIALS
iAIM 2023 invites proposals for the Tutorial Program to be held on 7 August 2023, immediately after the main program of the iAIM conference.

Tutorials may serve one or more of the following objectives:
-Introduce novices to major topics of AI in Medicine research.
-Provide instruction in established practices and methodologies.
-Survey a mature area of research or practice.
-Motivate and explain a topic of emerging importance.
-Introduce expert non-specialists to an area.
-Survey an area of nascent research especially relevant for people from industry.
-Present a novel synthesis combining distinct research threads.
-Introduce audiences to an external topic that can motivate, use or be useful to research.

Areas of interest include all of those listed in the call for abstracts.

Tutorials will be half-day long.

Important Dates
Proposal submission: 1 May 2023
Acceptance notification: 1 June 2023
Making the tutorial site available on the web: 31 July 2023
iAIM 2023 Tutorial Forum Presentations: 7 August 2023
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

Submission Requirements
The tutorial proposals should be submitted electronically as a single PDF file, be about 2 to 4 pages, and contain the following information:
-Title of the tutorial.
-A brief description of the tutorial.
-A detailed outline of the tutorial.
-A description of the potential target audience, including prerequisite knowledge.
-A description of why the tutorial topic would be of interest to a substantial part of the iAIM audience.
-A description of the plan for how the tutorial will run in two cases: 1) face-to-face, and 2) if participants cannot attend due to travel restrictions (i.e., withdraw the tutorial, hybrid, or entirely virtual).
-A brief resume of the presenter(s), which should include the necessary information: name, email address, background in the tutorial area, any available example of work in the area, evidence of teaching experience, and evidence of scholarship in the area. Information about previous tutorials delivered by the presenters (if any).
-The name and e-mail address of the corresponding presenter.

Submission: Please email your tutorial proposal to xyfan@ntu.edu.sg.

Selection Criteria
The evaluation of tutorial proposals will consider multiple factors, including general interest for attendees, the quality of the proposal, the feasibility of running it in the proposed mode (including the uncertainty of international travel conditions), and the expertise and skills of the presenters. The overall goal is to compose a balanced program of excellent tutorials. In addition, if there are several closely related proposals, the tutorial chairs might propose their authors to combine the proposals into a single tutorial.

Responsibilities
For all accepted proposals, iAIM organizers will be responsible for:
-Providing logistic support and a meeting place for the tutorial.
-Together with the organizers, determining the tutorial time.

Tutorial organizers will be responsible for:
-Providing iAIM organizers with a link to a complete tutorial note.
-Providing a website for the tutorial, which will include all information about the tutorial.
-Presenting the tutorial at iAIM 2023.


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CALL FOR WORKSHOPS
iAIM 2023 invites proposals for the workshop program, to be held on 7 August 2023, immediately after the main program of the iAIM conference.

iAIM 2023 workshop program aims to stimulate and foster the active discussion, interaction, and comparison of approaches, methods, and ideas related to specific topics in AI for medicine. Members of all segments of the medical AI community are encouraged to submit proposals. As attendance is limited to active participants only, workshop organizers and attendees must register for their workshops. The format of workshops will be determined by their organizers, who are encouraged to leave ample time for general discussion. Workshops will be one full day in length.

Important Dates
Proposal submission: 15 March 2023
Acceptance notification: 30 March 2023
Deadline for posting the workshops call for papers: 15 April 2023
Deadline for complete workshop notes submission to the workshop chair: 21 July 20023
iAIM 2023 workshops: 7 August 2023
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

Submission Requirements
The workshop proposals should be submitted electronically as a single PDF file, be about 5 pages, and contain the following:
-Title of the workshop.
-A brief description of the workshop, specifying the topics on which the workshop will focus, together with a brief discussion of why and to whom the workshop is of interest.
-A brief description highlighting the organizing committee’s expertise in the area and experience organizing similar events.
-A brief description of the proposed workshop format, including the necessary elements such as paper presentations, invited talks, panels, and general discussion.
-The necessary information of the proposed workshop organizers, including the names, affiliations, URLs, and email addresses. Please specify the main contact. The committee should consist of two to four people knowledgeable about the technical issues to be addressed. The committee should include individuals from multiple institutions, spreading across different regions. The organizers commit will fulfill their responsibilities which are outlined below in the “Responsibilities” section.
-A list of potential program committee members, including their titles and affiliations.

Submission URL: Please email your workshop proposal to xyfan@ntu.edu.sg.

Responsibilities
For all accepted proposals, iAIM organizers will be responsible for:
-Providing logistic support and a meeting place for the workshop.
-Together with the organizers, determining the workshop time.
-iAIM reserves the right to cancel workshops, for example, in case of a low number of registrants.

Workshop organizers will be responsible for:
-Producing a call for papers and a call for participation. Organizers are encouraged to set up their own website with updated information about the workshop.
-Collecting and evaluating submitted proposals, notifying authors of acceptance or rejection, and ensuring a transparent and fair selection process. All workshop organizers are encouraged to set up the same deadline for paper submissions and acceptance notifications.
-Ensuring that the workshop organizers and the participants register for the workshop and are invited to register to the main conference.


Inquiries
Please send any inquiries to the iAIM 2023 Scientific Committee:
-Xiuyi Fan (xyfan@ntu.edu.sg)
-Stefano Perna (stefano.perna@ntu.edu.sg)